There are many complex networks in the real world, such as interpersonal networks, biological networks, power system networks, and financial networks. Complex network propagation dynamics is the study of the propagation mechanism and dynamic behavior of various complex networks in society and nature, such as the spread of rumors in various media, the prevalence of infectious diseases in populations, the spread of viruses in computer networks, the chain failure in complex power grids, the domino effect of economic crisis, etc. Based on complex network theory, the study of communication in various complex systems is a hot topic in the field of network science. Experts in various disciplines, including computer science, biology, physics, human sociology, etc., are actively exploring how to avoid and control the spread of harmful information and faults in various fields of network.

Due to the complexity of network structures and propagation mechanisms, the research on propagation dynamics and control strategies of complex networks has not formed a complete theoretical system. It is helpful to understand the coupling dynamic evolution mechanism of network structure and disease or information by studying the process of disease or information transmission on the network through the network transmission dynamic model. It can also reveal the influence of network structure on disease or information transmission. It can also provide guidance for the development of disease prevention and control strategies and network public opinion control.

This Special Issue aims to collate both theoretical and empirical investigations about the coevolving spreading dynamics of complex networks. We welcome original research articles and review papers from different disciplines such as computer science, biology, physics, and human sociology.

Potential topics include but are not limited to the following:

• Modeling of complex network propagation dynamics
• Information dissemination and control
• Modeling and analysis of complex biological systems
• Interplay between the network structure and the propagation process
• Stability analysis of complex networks
• Information/opinion/knowledge dissemination and modeling
• Dynamic behavior of information dissemination in the network
• Disease spread in social networks
• Continuous failures in the electric power network
• Crisis spread in economic networks
• The propagation dynamics of dynamic, coupled, and multi-layer networks
• Control problems in propagation dynamics